aws-vpc-design
Design and implement production-grade VPC architectures
Découvrez les skills Outils, comparez leurs dépôts et consultez leurs instructions.
Design and implement production-grade VPC architectures
Launch, configure, and manage EC2 instances with best practices
Configure AWS IAM users, roles, policies, and identity federation
Optimize AWS costs through resource rightsizing and savings strategies
Configure S3 buckets with security, lifecycle, and replication policies
Infrastructure as Code with CloudFormation templates and stacks
Implement monitoring, alerting, and observability with CloudWatch
Deploy and manage containerized applications on ECS/Fargate
Build optimized serverless functions with Lambda
Build automated CI/CD pipelines with CodePipeline and CodeBuild
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
Vector database selection, indexing strategies, and semantic search optimization.
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
Prompt design, optimization, few-shot learning, and chain of thought techniques for LLM applications.
使用自定义动能理论分析 BTC 市场,多时间级别嵌套分析(2日线/1日/12h/6h/4h/2h/1h/30min),识别上涨线段、下跌线段、分立调控、单位调整周期、连续跳空背离、黄白线背离,生成包含详细属性判断的动能报告和交易信号。当用户...
Run Codex CLI, Claude Code, OpenCode, or Pi Coding Agent via background process for programmatic control.
Activate expert reasoning and systematic problem-solving mindset for technical and code-related tasks.
AI-native session continuity through shape anchors rather than linear logs. Use when beginning a session to orient from prior state, or when ending to crystallize state for future instances.
Personal research backlog. Quick-capture ideas for later exploration. Check when you have unstructured time.
Quality-first Zig 0.15.1 code generation. Loads stdlib context, generates small pieces, tests, reviews for idioms and slop, refactors. Use for any Zig coding task.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.